Semantic Organization of Data Networks

The goal of this article is to study the principle of self organization of p2p data networks on the basis of users´ activity. Basically, the idea is to link new discovered nodes according to the similarity between the previously accessed contents of each node. We studied the feasibility and the influence of several parameters on such organisation. This allows us to evaluate the efficiency and the stability of the association. The study shows that a semantic organization is more effective than a random organization